Spoofing Pattern Detector

WHAT IT DOES

This tool analyzes order placement and cancellation patterns to detect potential spoofing and market manipulation. It examines order placement and cancellation patterns, transaction history with timestamps, trade clustering patterns, repetitive trade patterns, price impact analysis, trader address overlap and correlation, bid-ask spread anomalies, wash trading indicators, concentration of volume from top traders, time-based trading frequency, gas usage patterns across orders, and liquidity pool depth changes. The AI layer translates these on-chain metrics into a plain-English analysis that identifies whether a token's order book shows signs of spoofing, flags suspicious patterns such as large orders placed and quickly cancelled, order clustering at specific price levels, and repetitive cancellation patterns, and assesses the overall manipulation risk. This is critical before trading a token that may have an artificially manipulated order book.

HOW TO USE

Connect your wallet, select the network, and paste the token address you want to investigate. The tool will fetch the token's order data and trading metrics, then display the results alongside an AI-generated analysis of potential spoofing. No transaction is required — this is a read-only operation. The AI analysis is generated from the exact data the tool reads, ensuring the assessment is grounded in what the chain actually shows.

TECHNICAL MECHANISM

The tool performs multiple view calls to fetch order and trading data from DEXs and liquidity pools, and scans transaction history using chunked log fetching that automatically halves the block range on RPC limit errors — because public endpoints cap historical queries differently and a single refusal should not end the scan. It tracks order placement and cancellation timestamps to identify rapid cancellation patterns, constructs order clustering maps to identify concentrated order placement, and applies pattern recognition algorithms to detect spoofing and layering indicators. It calculates cancellation rates, price impact relative to order size, and wash trading correlation metrics. The AI prompt is constructed entirely from the actual read results — never from assumptions — ensuring the analysis is grounded solely in what the token has actually traded on-chain. All reads are performed through the connected wallet's provider.

WHAT IT CANNOT SEE

This tool cannot definitively determine if spoofing is occurring — it only reads on-chain order patterns and trading metrics. It cannot detect off-chain spoofing intent. It cannot distinguish between legitimate market making and spoofing. It cannot verify trader identities or coordination. It cannot detect spoofing across multiple chains. Pattern analysis may produce false positives. Order data depends on DEX indexing which may be incomplete. It cannot determine if patterns are from bots or human traders. Cancelled orders may not be fully visible on-chain. The AI analysis is generated from the data the tool reads and should be treated as informational pattern analysis, not as definitive evidence of manipulation.

PLEASE NOTE

EVM chains only. Analysis is AI-generated from data the app reads on-chain — always review what you are actually signing in your wallet before approving it. This tool is read-only and never initiates transactions.